A Framework for Stochastic Optimization of Parameters for Integrative Modeling of Macromolecular Assemblies

Integrative modeling of macromolecular assemblies requires stochastic sampling, for example, via MCMC (Markov Chain Monte Carlo), since exhaustively enumerating all structural degrees of freedom is infeasible. MCMC-based methods usually require tuning several parameters, such as the move sizes for c...

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Detalles Bibliográficos
Autores principales: Pasani, Satwik, Viswanath, Shruthi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618978/
https://www.ncbi.nlm.nih.gov/pubmed/34833059
http://dx.doi.org/10.3390/life11111183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618978/
https://www.ncbi.nlm.nih.gov/pubmed/34833059
http://dx.doi.org/10.3390/life11111183

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